دورية أكاديمية
Artificial intelligence-based model for dose prediction of sertraline in adolescents: a real-world study
| العنوان: | Artificial intelligence-based model for dose prediction of sertraline in adolescents: a real-world study |
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| المؤلفون: | Ran Fu, Ze Yu, Chunhua Zhou, Jinyuan Zhang, Fei Gao, Donghan Wang, Xin Hao, Xiaolu Pang, Jing Yu |
| سنة النشر: | 2024 |
| مصطلحات موضوعية: | Biochemistry, Medicine, Microbiology, Pharmacology, Biotechnology, Mental Health, Plant Biology, Biological Sciences not elsewhere classified, Sertraline, dose prediction, real-world study, artificial intelligence, adolescent |
| الوصف: | Variability exists in sertraline pharmacokinetic parameters in individuals, especially obvious in adolescents. We aimed to establish an individualized dosing model of sertraline for adolescents with depression based on artificial intelligence (AI) techniques. Data were collected from 258 adolescent patients treated at the First Hospital of Hebei Medical University between December 2019 to July 2022. Nine different algorithms were used for modeling to compare the prediction abilities on sertraline daily dose, including XGBoost, LGBM, CatBoost, GBDT, SVM, ANN, TabNet, KNN, and DT. Performance of four dose subgroups (50 mg, 100 mg, 150 mg, and 200 mg) were analyzed. CatBoost was chosen to establish the individualized medication model with the best performance. Six important variables were found to be correlated with sertraline dose, including plasma concentration, PLT, MPV, GL, A/G, and LDH. The ROC curve and confusion matrix exhibited the good prediction performance of CatBoost model in four dose subgroups (the AUC of 50 mg, 100 mg, 150 mg, and 200 mg were 0.93, 0.81, 0.93, and 0.93, respectively). The AI-based dose prediction model of sertraline in adolescents with depression had a good prediction ability, which provides guidance for clinicians to propose the optimal medication regimen. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| العلاقة: | https://figshare.com/articles/journal_contribution/Artificial_intelligence-based_model_for_dose_prediction_of_sertraline_in_adolescents_a_real-world_study/25011968Test |
| DOI: | 10.6084/m9.figshare.25011968.v1 |
| الإتاحة: | https://doi.org/10.6084/m9.figshare.25011968.v1Test https://figshare.com/articles/journal_contribution/Artificial_intelligence-based_model_for_dose_prediction_of_sertraline_in_adolescents_a_real-world_study/25011968Test |
| حقوق: | CC BY 4.0 |
| رقم الانضمام: | edsbas.871D4AE |
| قاعدة البيانات: | BASE |
| DOI: | 10.6084/m9.figshare.25011968.v1 |
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